Detail publikace

Evolution of Approximate Functions for Image Thresholding

BIDLO, M.

Originální název

Evolution of Approximate Functions for Image Thresholding

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper investigates the utilisation of approximate addition and multiplication for designing image thresholding functions. Cartesian Genetic Programming is applied for the evolutionary design of circuits using various implementations of the approximate operations. The results are presented for various experimental setups and compared with the case when only exact addition and multiplication is considered. It will be shown that for some range of error metrics of the approximate operations the evolution provides solutions that are better than those provided by the exact operations. Moreover, the utilisation of approximate components allows reducing the implementation area of the resulting functions.

Klíčová slova

evolution strategy, cartesian genetic programming, approximate circuit, image thresholding

Autoři

BIDLO, M.

Vydáno

28. 6. 2021

Nakladatel

IEEE Computer Society

Místo

Los Alamos

ISBN

978-1-7281-9048-8

Kniha

IEEE Symposium Series on Computational Intelligence (IEEE SSCI)

Strany od

1

Strany do

6

Strany počet

6

URL

https://ieeexplore.ieee.org/document/9659876

BibTex

@inproceedings{BUT182262,
  author="Michal {Bidlo}",
  title="Evolution of Approximate Functions for Image Thresholding",
  booktitle="IEEE Symposium Series on Computational Intelligence (IEEE SSCI)",
  year="2021",
  pages="1--6",
  publisher="IEEE Computer Society",
  address="Los Alamos",
  doi="10.1109/SSCI50451.2021.9659876",
  isbn="978-1-7281-9048-8",
  url="https://ieeexplore.ieee.org/document/9659876"
}